{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "73ee3316",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n（1）利用pandas加载CSV文件：沪深300指数基金交易数据\\n（2）从交易数据中取出收盘价数据\\n（3）从收盘价数据中找出后5天的收盘价\\n（4）计算出后5天收盘价的平均值\\n（5）从收盘价数据中找出后6天到后1天的收盘价\\n（6）计算出后6天到后1天的收盘价的平均值\\n'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "（1）利用pandas加载CSV文件：沪深300指数基金交易数据\n",
    "（2）从交易数据中取出收盘价数据\n",
    "（3）从收盘价数据中找出后5天的收盘价\n",
    "（4）计算出后5天收盘价的平均值\n",
    "（5）从收盘价数据中找出后6天到后1天的收盘价\n",
    "（6）计算出后6天到后1天的收盘价的平均值\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5a159863",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "36ccf609",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('./000300.XSHG.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c61425a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>money</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>4121.35</td>\n",
       "      <td>4152.24</td>\n",
       "      <td>4172.66</td>\n",
       "      <td>4121.35</td>\n",
       "      <td>1.821168e+10</td>\n",
       "      <td>2.701055e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>4161.22</td>\n",
       "      <td>4144.96</td>\n",
       "      <td>4164.30</td>\n",
       "      <td>4131.86</td>\n",
       "      <td>1.428262e+10</td>\n",
       "      <td>2.152163e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-06</td>\n",
       "      <td>4120.52</td>\n",
       "      <td>4129.30</td>\n",
       "      <td>4170.64</td>\n",
       "      <td>4102.38</td>\n",
       "      <td>1.753100e+10</td>\n",
       "      <td>2.501821e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-07</td>\n",
       "      <td>4137.40</td>\n",
       "      <td>4160.23</td>\n",
       "      <td>4161.25</td>\n",
       "      <td>4135.10</td>\n",
       "      <td>1.394890e+10</td>\n",
       "      <td>1.963891e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-08</td>\n",
       "      <td>4139.63</td>\n",
       "      <td>4112.32</td>\n",
       "      <td>4149.81</td>\n",
       "      <td>4101.98</td>\n",
       "      <td>1.675858e+10</td>\n",
       "      <td>2.124063e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>2021-09-13</td>\n",
       "      <td>5006.77</td>\n",
       "      <td>4991.66</td>\n",
       "      <td>5029.72</td>\n",
       "      <td>4964.96</td>\n",
       "      <td>2.499153e+10</td>\n",
       "      <td>4.333296e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>2021-09-14</td>\n",
       "      <td>4989.83</td>\n",
       "      <td>4917.16</td>\n",
       "      <td>5000.98</td>\n",
       "      <td>4907.32</td>\n",
       "      <td>2.455904e+10</td>\n",
       "      <td>4.172458e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>4903.85</td>\n",
       "      <td>4867.32</td>\n",
       "      <td>4903.85</td>\n",
       "      <td>4843.12</td>\n",
       "      <td>1.879847e+10</td>\n",
       "      <td>3.632567e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>2021-09-16</td>\n",
       "      <td>4866.79</td>\n",
       "      <td>4807.70</td>\n",
       "      <td>4879.53</td>\n",
       "      <td>4806.14</td>\n",
       "      <td>2.167521e+10</td>\n",
       "      <td>3.935173e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>2021-09-17</td>\n",
       "      <td>4797.11</td>\n",
       "      <td>4855.94</td>\n",
       "      <td>4857.96</td>\n",
       "      <td>4786.09</td>\n",
       "      <td>2.019581e+10</td>\n",
       "      <td>3.603974e+11</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>418 rows × 7 columns</p>\n",
       "</div>"
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       "           date     open    close     high      low        volume  \\\n",
       "0    2020-01-02  4121.35  4152.24  4172.66  4121.35  1.821168e+10   \n",
       "1    2020-01-03  4161.22  4144.96  4164.30  4131.86  1.428262e+10   \n",
       "2    2020-01-06  4120.52  4129.30  4170.64  4102.38  1.753100e+10   \n",
       "3    2020-01-07  4137.40  4160.23  4161.25  4135.10  1.394890e+10   \n",
       "4    2020-01-08  4139.63  4112.32  4149.81  4101.98  1.675858e+10   \n",
       "..          ...      ...      ...      ...      ...           ...   \n",
       "413  2021-09-13  5006.77  4991.66  5029.72  4964.96  2.499153e+10   \n",
       "414  2021-09-14  4989.83  4917.16  5000.98  4907.32  2.455904e+10   \n",
       "415  2021-09-15  4903.85  4867.32  4903.85  4843.12  1.879847e+10   \n",
       "416  2021-09-16  4866.79  4807.70  4879.53  4806.14  2.167521e+10   \n",
       "417  2021-09-17  4797.11  4855.94  4857.96  4786.09  2.019581e+10   \n",
       "\n",
       "            money  \n",
       "0    2.701055e+11  \n",
       "1    2.152163e+11  \n",
       "2    2.501821e+11  \n",
       "3    1.963891e+11  \n",
       "4    2.124063e+11  \n",
       "..            ...  \n",
       "413  4.333296e+11  \n",
       "414  4.172458e+11  \n",
       "415  3.632567e+11  \n",
       "416  3.935173e+11  \n",
       "417  3.603974e+11  \n",
       "\n",
       "[418 rows x 7 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ee1731c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      4152.24\n",
       "1      4144.96\n",
       "2      4129.30\n",
       "3      4160.23\n",
       "4      4112.32\n",
       "        ...   \n",
       "413    4991.66\n",
       "414    4917.16\n",
       "415    4867.32\n",
       "416    4807.70\n",
       "417    4855.94\n",
       "Name: close, Length: 418, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['close']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c7ef96d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "413    4991.66\n",
       "414    4917.16\n",
       "415    4867.32\n",
       "416    4807.70\n",
       "417    4855.94\n",
       "Name: close, dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['close'][-5:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "27116a65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4887.956"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(4991.66 + 4917.16 + 4867.32 + 4807.70 + 4855.94) / 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cd5d58a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4887.956"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['close'][-5:].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e8279c71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24439.78"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['close'][-5:].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e43a4b5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>open</th>\n",
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       "      <th>high</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>2021-08-23</td>\n",
       "      <td>4777.73</td>\n",
       "      <td>4835.88</td>\n",
       "      <td>4843.82</td>\n",
       "      <td>4764.01</td>\n",
       "      <td>1.675791e+10</td>\n",
       "      <td>3.895991e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>2021-08-24</td>\n",
       "      <td>4844.59</td>\n",
       "      <td>4888.39</td>\n",
       "      <td>4906.20</td>\n",
       "      <td>4842.75</td>\n",
       "      <td>1.978832e+10</td>\n",
       "      <td>4.174814e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>2021-08-25</td>\n",
       "      <td>4890.52</td>\n",
       "      <td>4898.16</td>\n",
       "      <td>4899.77</td>\n",
       "      <td>4865.76</td>\n",
       "      <td>1.894480e+10</td>\n",
       "      <td>3.718682e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>2021-08-26</td>\n",
       "      <td>4892.20</td>\n",
       "      <td>4801.61</td>\n",
       "      <td>4892.20</td>\n",
       "      <td>4798.70</td>\n",
       "      <td>1.976174e+10</td>\n",
       "      <td>3.689877e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>4794.97</td>\n",
       "      <td>4827.04</td>\n",
       "      <td>4863.47</td>\n",
       "      <td>4793.59</td>\n",
       "      <td>1.833102e+10</td>\n",
       "      <td>3.684214e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>2021-08-30</td>\n",
       "      <td>4847.03</td>\n",
       "      <td>4813.27</td>\n",
       "      <td>4849.16</td>\n",
       "      <td>4787.20</td>\n",
       "      <td>2.196358e+10</td>\n",
       "      <td>4.771821e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>2021-08-31</td>\n",
       "      <td>4803.09</td>\n",
       "      <td>4805.61</td>\n",
       "      <td>4821.76</td>\n",
       "      <td>4740.75</td>\n",
       "      <td>2.351187e+10</td>\n",
       "      <td>4.608057e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>2021-09-01</td>\n",
       "      <td>4804.69</td>\n",
       "      <td>4869.46</td>\n",
       "      <td>4906.40</td>\n",
       "      <td>4763.30</td>\n",
       "      <td>3.267211e+10</td>\n",
       "      <td>5.688197e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>2021-09-02</td>\n",
       "      <td>4865.82</td>\n",
       "      <td>4869.41</td>\n",
       "      <td>4892.70</td>\n",
       "      <td>4845.62</td>\n",
       "      <td>2.678580e+10</td>\n",
       "      <td>4.659541e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>2021-09-03</td>\n",
       "      <td>4875.07</td>\n",
       "      <td>4843.06</td>\n",
       "      <td>4886.55</td>\n",
       "      <td>4828.70</td>\n",
       "      <td>2.680919e+10</td>\n",
       "      <td>4.664301e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>2021-09-06</td>\n",
       "      <td>4841.06</td>\n",
       "      <td>4933.73</td>\n",
       "      <td>4944.45</td>\n",
       "      <td>4837.79</td>\n",
       "      <td>2.405072e+10</td>\n",
       "      <td>4.527563e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>2021-09-07</td>\n",
       "      <td>4932.98</td>\n",
       "      <td>4992.83</td>\n",
       "      <td>5005.96</td>\n",
       "      <td>4915.61</td>\n",
       "      <td>2.441785e+10</td>\n",
       "      <td>4.177596e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>2021-09-08</td>\n",
       "      <td>4986.80</td>\n",
       "      <td>4972.13</td>\n",
       "      <td>5013.98</td>\n",
       "      <td>4955.89</td>\n",
       "      <td>2.646153e+10</td>\n",
       "      <td>4.285911e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>2021-09-09</td>\n",
       "      <td>4952.49</td>\n",
       "      <td>4970.01</td>\n",
       "      <td>4970.15</td>\n",
       "      <td>4929.95</td>\n",
       "      <td>2.565302e+10</td>\n",
       "      <td>4.016757e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>2021-09-10</td>\n",
       "      <td>4967.98</td>\n",
       "      <td>5013.52</td>\n",
       "      <td>5042.80</td>\n",
       "      <td>4962.37</td>\n",
       "      <td>2.883044e+10</td>\n",
       "      <td>4.727625e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>2021-09-13</td>\n",
       "      <td>5006.77</td>\n",
       "      <td>4991.66</td>\n",
       "      <td>5029.72</td>\n",
       "      <td>4964.96</td>\n",
       "      <td>2.499153e+10</td>\n",
       "      <td>4.333296e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>2021-09-14</td>\n",
       "      <td>4989.83</td>\n",
       "      <td>4917.16</td>\n",
       "      <td>5000.98</td>\n",
       "      <td>4907.32</td>\n",
       "      <td>2.455904e+10</td>\n",
       "      <td>4.172458e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>4903.85</td>\n",
       "      <td>4867.32</td>\n",
       "      <td>4903.85</td>\n",
       "      <td>4843.12</td>\n",
       "      <td>1.879847e+10</td>\n",
       "      <td>3.632567e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>2021-09-16</td>\n",
       "      <td>4866.79</td>\n",
       "      <td>4807.70</td>\n",
       "      <td>4879.53</td>\n",
       "      <td>4806.14</td>\n",
       "      <td>2.167521e+10</td>\n",
       "      <td>3.935173e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>2021-09-17</td>\n",
       "      <td>4797.11</td>\n",
       "      <td>4855.94</td>\n",
       "      <td>4857.96</td>\n",
       "      <td>4786.09</td>\n",
       "      <td>2.019581e+10</td>\n",
       "      <td>3.603974e+11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           date     open    close     high      low        volume  \\\n",
       "398  2021-08-23  4777.73  4835.88  4843.82  4764.01  1.675791e+10   \n",
       "399  2021-08-24  4844.59  4888.39  4906.20  4842.75  1.978832e+10   \n",
       "400  2021-08-25  4890.52  4898.16  4899.77  4865.76  1.894480e+10   \n",
       "401  2021-08-26  4892.20  4801.61  4892.20  4798.70  1.976174e+10   \n",
       "402  2021-08-27  4794.97  4827.04  4863.47  4793.59  1.833102e+10   \n",
       "403  2021-08-30  4847.03  4813.27  4849.16  4787.20  2.196358e+10   \n",
       "404  2021-08-31  4803.09  4805.61  4821.76  4740.75  2.351187e+10   \n",
       "405  2021-09-01  4804.69  4869.46  4906.40  4763.30  3.267211e+10   \n",
       "406  2021-09-02  4865.82  4869.41  4892.70  4845.62  2.678580e+10   \n",
       "407  2021-09-03  4875.07  4843.06  4886.55  4828.70  2.680919e+10   \n",
       "408  2021-09-06  4841.06  4933.73  4944.45  4837.79  2.405072e+10   \n",
       "409  2021-09-07  4932.98  4992.83  5005.96  4915.61  2.441785e+10   \n",
       "410  2021-09-08  4986.80  4972.13  5013.98  4955.89  2.646153e+10   \n",
       "411  2021-09-09  4952.49  4970.01  4970.15  4929.95  2.565302e+10   \n",
       "412  2021-09-10  4967.98  5013.52  5042.80  4962.37  2.883044e+10   \n",
       "413  2021-09-13  5006.77  4991.66  5029.72  4964.96  2.499153e+10   \n",
       "414  2021-09-14  4989.83  4917.16  5000.98  4907.32  2.455904e+10   \n",
       "415  2021-09-15  4903.85  4867.32  4903.85  4843.12  1.879847e+10   \n",
       "416  2021-09-16  4866.79  4807.70  4879.53  4806.14  2.167521e+10   \n",
       "417  2021-09-17  4797.11  4855.94  4857.96  4786.09  2.019581e+10   \n",
       "\n",
       "            money  \n",
       "398  3.895991e+11  \n",
       "399  4.174814e+11  \n",
       "400  3.718682e+11  \n",
       "401  3.689877e+11  \n",
       "402  3.684214e+11  \n",
       "403  4.771821e+11  \n",
       "404  4.608057e+11  \n",
       "405  5.688197e+11  \n",
       "406  4.659541e+11  \n",
       "407  4.664301e+11  \n",
       "408  4.527563e+11  \n",
       "409  4.177596e+11  \n",
       "410  4.285911e+11  \n",
       "411  4.016757e+11  \n",
       "412  4.727625e+11  \n",
       "413  4.333296e+11  \n",
       "414  4.172458e+11  \n",
       "415  3.632567e+11  \n",
       "416  3.935173e+11  \n",
       "417  3.603974e+11  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[-20:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a6ba7c91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "412    5013.52\n",
       "413    4991.66\n",
       "414    4917.16\n",
       "415    4867.32\n",
       "416    4807.70\n",
       "Name: close, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['close'][-6:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d4fb024e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4919.472"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['close'][-6:-1].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cfb5d9ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4887.956"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['close'][-5:].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5df0f813",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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